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Alteryx Designer: The Definitive Guide
Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experience.... -
Face Analysis Under Uncontrolled Conditions
Author Romain Belmonte , Benjamin Allaert
Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that imp....
Release Date 2022/11 -
Python for Geospatial Data Analysis
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization .... -
Data Fabric as Modern Data Architecture
Data fabric is a hot concept in data management today. By encompassing the data ecosystem your company already has in place, this architectural design pattern provides your staff with one reliable place to go for data. In this report, author Alice LaPlante shows CIOs, CDOs, and CAOs how data fabric .... -
Applied Modeling Techniques and Data Analysis 1
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
Applied Modeling Techniques and Data Analysis 2
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
IBM SPSS Essentials, 2nd Edition
Master the fundamentals of SPSS with this newly updated and instructive resourceThe newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) fo.... -
Python Data Analysis - Third Edition
Understand data analysis pipelines using machine learning algorithms and techniques with this practical guideKey FeaturesPrepare and clean your data to use it for exploratory analysis, data manipulation, and data wranglingDiscover supervised, unsupervised, probabilistic, and Bayesian machine learnin.... -
Author Gururajan Govindan , Shubhangi Hora , Konstantin Palag
Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry expertsKey FeaturesGet to grips with data analysis by studying use cases from different fieldsDevelop your critical thinking skills by following tried-and-true d....
Release Date 2020/07 -
Practical Data Analysis Using Jupyter Notebook
Author Marc Wintjen , Andrew Vlahutin
Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter NotebookKey FeaturesFind out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to ....
Release Date 2020/06 -
Hands-On Exploratory Data Analysis with Python
Author Suresh Kumar Mukhiya , Usman Ahmed
Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandasKey FeaturesUnderstand the fundamental concepts of exploratory data analysis using Python Find missing values in your data and identify the correlation between differe....
Release Date 2020/03 -
Author Ben Jones
Avoid data blunders and create truly useful visualizationsAvoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plent....
Release Date 2019/11 -
Data Mining for Business Analytics
Author Galit Shmueli , Peter C. Bruce , Peter Gedeck
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustrationReaders will learn how to implement a variety of popular data mining algorithms in ....
Release Date 2019/11 -
Hands-On Exploratory Data Analysis with R
Author Harish Garg , Radhika Datar
Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skillsKey FeaturesSpeed up your data analysis projects using powerful R packages and techniques Create multiple hands-on data analysis projects using real-world data ....
Release Date 2019/05 -
Intelligent Data Analysis for Biomedical Applications
Author Valentina Emilia Balas , Deepak Gupta , Hemanth D. Jude
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. ....
Release Date 2019/03 -
Sparse Optimization Theory and Methods
Author Yun-Bin Zhao
Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficient sparse representation becomes central in various big or high-dimensional data processing, yielding fruitful theoretical and realistic res....
Release Date 2018/07 -
Data Mining Models, Second Edition
Author David L. Olson
Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to describe the benefits of data mining in business, the process and typical business applications, the workings of basic data mining models,....
Release Date 2018/04 -
Measurement and Data Analysis for Engineering and Science, 4th Edition
Author Michael P. Davis , Patrick F Dunn
Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally befor....
Release Date 2017/12 -
Data Management and Analysis Using JMP
Author Patricia Schaffer , Jane E Oppenlander
A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking tradit....
Release Date 2017/10 -
R: Mining Spatial, Text, Web, and Social Media Data
Author Richard Heimann , Nathan Danneman , Pradeepta Mishra , Bater Makhabel
Create data mining algorithmsAbout This BookDevelop a strong strategy to solve predictive modeling problems using the most popular data mining algorithmsReal-world case studies will take you from novice to intermediate to apply data mining techniquesDeploy cutting-....
Release Date 2017/06 -
Preparing Data for Analysis with JMP
Author Robert Carver
Access and clean up data easily using JMP®!Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and even innovative data-preparation capabilities that enable you to m....
Release Date 2017/05 -
Learning Data Mining with Python - Second Edition
Author Robert Layton
Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models.About This BookUse a wide variety of Python libraries for practi....
Release Date 2017/04 -
Author Ravi Iyer , Omesh Tickoo
Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field.Making Sense of Se....
Release Date 2016/12 -
Author Christopher J. Pal , Mark A. Hall , Eibe Frank , Ian H. Witten
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated ....
Release Date 2016/10 -
Data Mining and Learning Analytics
Author Osmar R. Zaïane , Donald Ipperciel , Samira ElAtia
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandate....
Release Date 2016/09 -
Practical Data Analysis - Second Edition
Author Dr. Sampath Kumar , Hector Cuesta
A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache SparkAbout This BookLearn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your dataApply Machine ....
Release Date 2016/09